GA3

GA3 file will be the slow evolution file. The main goal will be testing to see if there is an effect caused by mutation rate or effect size when the mutational variance between two species is the same.

Prediction: Higher mutation rate will be advantages in the beginning of a simulation. A higher effect size might lead to more spatial co-evolution. Space might separate the effects.

For the initial part of this experiment I will only be running one trial per GA combination

GA combinations:

• 1e-8*(0.005)^2 = 2.5e-13
• 1e-9*(0.0158)^2 = 2.5e-13
• 1e-10*(0.05)^2 = 2.5e-13
• 1e-11*(0.158)^2 = 2.5e-13

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Mean Phenotype Whole Simulation

##                          Group.1            x
## 1    1.0e-08_0.005_1.0e-08_0.005 -0.098163903
## 2   1.0e-08_0.005_1.0e-09_0.0158  0.016779364
## 3     1.0e-08_0.005_1.0e-10_0.05 -0.226664679
## 4    1.0e-08_0.005_1.0e-11_0.158  0.010813056
## 5   1.0e-09_0.0158_1.0e-08_0.005 -0.007287745
## 6  1.0e-09_0.0158_1.0e-09_0.0158  0.215621516
## 7    1.0e-09_0.0158_1.0e-10_0.05 -0.030173555
## 8   1.0e-09_0.0158_1.0e-11_0.158  0.250226883
## 9     1.0e-10_0.05_1.0e-08_0.005 -0.070659664
## 10   1.0e-10_0.05_1.0e-09_0.0158 -0.197977493
## 11     1.0e-10_0.05_1.0e-10_0.05 -0.102772523
## 12    1.0e-10_0.05_1.0e-11_0.158 -0.130457787
## 13   1.0e-11_0.158_1.0e-08_0.005  0.034135676
## 14  1.0e-11_0.158_1.0e-09_0.0158 -0.193835961
## 15    1.0e-11_0.158_1.0e-10_0.05  0.008829150
## 16   1.0e-11_0.158_1.0e-11_0.158 -0.145687471

Connection between higher phenotype and population

Correlation

Legend:

• “CA” = mean_newt_pheno_By_mean_snake_pheno (Pink)
• “CB” = num_newts_By_num_snakes (Green)
• “CC” = sum_newt_pheno_By_num_snake (Blue)
• “CD” = sum_snake_pheno_By_num_newt (Purple)

Correlation across time

What happens over time (looking at the beginning. middle, and late part of my simulations)

Summary

What is up with the correlations

file

## [1] 0.239585

file

## [1] -0.2701397

## [1] -0.3967834

## [1] 0.5894865

## [1] 0.4039904

## [1] 0.4306323